Algomancer

learning_rate = 4e-4
warmup_steps = 2000
log_step_interval = 1
eval_iters = 100
save_step_interval = 1000
eval_step_interval = 1000

weight_decay = 1e-1
beta1 = 0.9
beta2 = 0.95

thomasstxyz

Swap tilde key on Mac keyboard

cat << 'EOF' > ~/.tilde-switch && chmod +x ~/.tilde-switch
hidutil property --set '{"UserKeyMapping":[{"HIDKeyboardModifierMappingSrc":0x700000035,"HIDKeyboardModifierMappingDst":0x700000064},{"HIDKeyboardModifierMappingSrc":0x700000064,"HIDKeyboardModifierMappingDst":0x700000035}]}'
EOF

~/.tilde-switch

sharma0611

#!/bin/bash
mkdir train && mv ILSVRC2012_img_train.tar train/ && cd train
tar -xvf ILSVRC2012_img_train.tar && rm -f ILSVRC2012_img_train.tar
find . -name "*.tar" | while read NAME ; do mkdir -p "${NAME%.tar}"; tar -xvf "${NAME}" -C "${NAME%.tar}"; rm -f "${NAME}"; done
cd ..
# Extract the validation data and move images to subfolders:
mkdir val && mv ILSVRC2012_img_val.tar val/ && cd val && tar -xvf ILSVRC2012_img_val.tar
wget -qO- <https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh> | bash

enzinier

#!/bin/sh
# Userland mode (~$USER/), (~/).

# ~/.fonts is now deprecated and that
#FONT_HOME=~/.fonts
# ~/.local/share/fonts should be used instead
FONT_HOME=~/.local/share/fonts

echo "installing fonts at $PWD to $FONT_HOME"
mkdir -p "$FONT_HOME/adobe-fonts/source-code-pro"

bastman

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

stenstorp

#!/bin/bash
#Download Maya from here: http://download.autodesk.com/us/support/files/maya_2016_service_pack_6/Autodesk_Maya_2016_SP6_EN_Linux_64bit.tgz
#Get a student License from: http://www.autodesk.com/education/free-software/maya
#Log in and select maya 2016, your language and an OS. Either should work.

#					!!!!!! IMPORTANT !!!!!!

# BEFORE RUNNING, REPLACE "USER" AND "HOME" AT THE BOTTOM OF THIS SCRIPT WITH YOUR USERNAME AND HOME FOLDER

#					!!!!!! IMPORTANT !!!!!!

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman